Microwave imaging of non-weak targets in stratified media via virtual experiments and compressive sensing

Tomographic approaches represent an emerging way to process GPR data and to investigate stratified media, since they allow to obtain images that are more readable than those achieved with standard data processing, which require human expertise and may show high probability of false alarms. In this contest, an efficient inverse scattering strategy is proposed to achieve dielectric characterization of buried objects in lossy and stratified soils. The approach exploits the framework of the 'virtual scattering experiments' in a stratified media, thus allowing to deal with not only the non linearity of the underlying physical phenomena, but also to counteract the difficulty arising from the aspect limited measurement configuration adopted in GPR surveys. The proposed method is tested through a numerical example, by considering Compressive Sensing regularization scheme in order to enhance imaging resolution capabilities.